YAPR

spacy-test.ipynb

@@ -0,0 +1,57 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [
+    {
+     "ename": "ModuleNotFoundError",
+     "evalue": "No module named 'spacy'",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31mModuleNotFoundError\u001b[0m                       Traceback (most recent call last)",
+      "Cell \u001b[0;32mIn[1], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m \u001b[39mimport\u001b[39;00m \u001b[39mspacy\u001b[39;00m\n\u001b[1;32m      3\u001b[0m \u001b[39m# Load the English model\u001b[39;00m\n\u001b[1;32m      4\u001b[0m nlp \u001b[39m=\u001b[39m spacy\u001b[39m.\u001b[39mload(\u001b[39m\"\u001b[39m\u001b[39men_core_web_sm\u001b[39m\u001b[39m\"\u001b[39m)\n",
+      "\u001b[0;31mModuleNotFoundError\u001b[0m: No module named 'spacy'"
+     ]
+    }
+   ],
+   "source": [
+    "import spacy\n",
+    "\n",
+    "# Load the English model\n",
+    "nlp = spacy.load(\"en_core_web_sm\")\n",
+    "\n",
+    "# Load the text file\n",
+    "with open(\"/mnt/data/araby.txt\", \"r\") as file:\n",
+    "    araby_text = file.read()\n",
+    "\n",
+    "# Process the text with Spacy\n",
+    "doc = nlp(araby_text)"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.9.7"
+  },
+  "orig_nbformat": 4
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}